Open to opportunities

Pabitra Biswas

@pabitrabiswas

Message

I build cloud-native ML, RAG, and multi-agent systems that move AI models into production.

India

Message

What I'm looking for

I'm seeking a full-time Machine Learning Engineer or Data Scientist role where I can build and deploy cloud-native ML, RAG, multi-agent, and MLOps systems.

I've built cloud-native AI systems and production ML pipelines through internships at SAIG and PSS Automate Private Limited. At SAIG, I designed federated Azure data pipelines integrating Cosmos DB, Azure AI Search, and Semantic Kernel for a multi-domain intelligence system.

I've developed LLM-powered applications, multi-hop RAG agents, ML-powered document automation, and FastAPI services using Python, DSPy, LangChain, LangGraph, PyTorch, Docker, Airflow, and cloud platforms. My work includes a BERT news classifier serving 12K+ daily requests at under 50ms P95 latency and achieving 90.3% test accuracy.

I'm an active Hugging Face Hub open-source contributor, ranked in the top 2% nationally in NPTEL Deep Learning, and bring hands-on experience with large-scale data, MLOps, CI/CD, and production deployment.

Experience

Work history, roles, and key accomplishments

Machine Learning Intern

SAIG

Feb 2026 - Aug 2026 (6 months)

Designed and implemented federated data pipelines on Microsoft Azure for a multi-domain intelligence system, integrating Cosmos DB, Azure AI Search, and Semantic Kernel. Engineered a tiered query-escalation pattern to optimize RU cost and authored technical documentation.

Azure Azure Cosmos DB Azure AI Search Semantic Kernel Data Pipelines Graph Databases Technical Documentation

Machine Learning Intern

PSS Automate Private Limited

Dec 2025 - Feb 2026 (2 months)

Developed intelligent automation pipelines using Python, DSPy, and Apache Airflow. Built ML-powered agents for document parsing and data extraction, implemented RESTful APIs with FastAPI, and automated data collection with Selenium and BeautifulSoup.